Allows Bayesian modeling of paired RNA-seq experiment. pairedBayes is a Bayesian hierarchical mixture model for RNA-Seq data to separately account for the variability within and between individuals from a paired data structure. The method assumes a Poisson distribution for the data mixed with a gamma distribution to account variability between pairs. The effect of differential expression is modeled by two-component mixture model.

Type:

Desktop

pairedBayes specifications

Unique identifier:

OMICS_01958

Interface:

Command line interface

Operating system:

Unix/Linux, Mac OS, Windows

Computer skills:

Advanced

Maintained:

No

Software type:

Package/Module

Restrictions to use:

None

Programming languages:

R

versioning

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Publications

Institution(s)

Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA; Department of Statistics, George Washington University, Washington, DC, USA; Novartis Institutes for BioMedical Research, Cambridge, MA, USA; Section of Rheumatology, Yale School of Medicine, New Haven, CT, USA; Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA

Funding source(s)

Supported in part by Grant GM59507 from NIH, 5T15LM007056-25 from PHS/DHHS, UL1 RR024139 from Yale CTSA grant and awards from the NIH (HHS N272201100019C, AI 070343, AI 089992).